Publications
Beyond Trusting Trust: Multi-Model Validation for Robust Code Generation
Bradley McDanel
UMBC CODEBOT ‘25 Workshop
paper
AMUSD: Asynchronous Multi-Device Speculative Decoding for LLM Acceleration
Bradley McDanel
IEEE International Symposium on Circuits and Systems (ISCAS), 2025.
preprint
code
Designing LLM-Resistant Programming Assignments: Insights and Strategies for CS Educators.
Bradley McDanel, Ed Novak
Special Interest Group Computer Science Educators (SIGCSE), 2025.
paper
code
Revelata at the FinLLM Challenge Task: Improving Financial Text Summarization by Restricted Prompt Engineering and Fine-tuning.
Ken Kawamura, Zeqian Li, Chit-Kwan Lin, Bradley McDanel
Joint Workshop of the 8th Financial Technology and Natural Language Processing (FinNLP) and the 1st Agent AI for Scenario Planning (AgentScen) at IJCAI, 2024
paper
ChatGPT as a Java Decompiler
B. McDanel and Zhanhao Liu
3rd Generation, Evaluation & Metrics (GEM) Workshop at EMNLP’23
paper
code
StitchNet: Composing Neural Networks from Pre-Trained Fragments
Surat Teerapittayanon, Marcus Comiter, Bradley McDanel, H. T. Kung.
IEEE International Conference on Machine Learning (ICMLA), 2023.
preprint
Accelerating Vision Transformer Training via a Patch Sampling Schedule
Bradley McDanel, Chi Phuong Huynh
IEEE International Conference on Machine Learning (ICMLA), 2023.
preprint
code
Accelerating DNN Training with Structured Data Gradient Pruning
B. McDanel, H. Dinh, J. Magallanes
International Conference on Pattern Recognition (ICPR), 2022.
preprint
FAST: DNN Training Under Variable Precision Block Floating Point with Stochastic Rounding
S. Zhang, B. McDanel, H. T. Kung
28th IEEE International Symposium on High-Performance Computer Architecture (HPCA-28), 2022.
preprint
Saturation RRAM Leveraging Bit-level Sparsity Resulting from Term Quantization
B. McDanel, H. T. Kung, S. Zhang
IEEE International Symposium on Circuits and Systems (ISCAS), 2021
paper
